CT and MRI fusion for postimplant prostate brachytherapy evaluation

Ehsan Dehghan, Yi Le, Junghoon Lee, Danny Y Song, Gabor Fichtinger, Jerry Ladd Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Postoperative evaluation of prostate brachytherapy is typically performed using CT, which does not have sufficient soft tissue contrast for accurate anatomy delineation. MR-CT fusion enables more accurate localization of both anatomy and implanted radioactive seeds, and hence, improves the accuracy of postoperative dosimetry. We propose a method for automatic registration of MR and CT images without a need for manual initialization. Our registration method employs a point-to-volume registration scheme during which localized seeds in the CT images, produced by commercial treatment planning systems as part of the standard of care, are rigidly registered to preprocessed MRI images. We tested our algorithm on ten patient data sets and achieved an overall registration error of 1.6 ± 0.8 mm with a running time of less than 20s. With high registration accuracy and computational speed, and no need for manual intervention, our method has the potential to be employed in clinical applications.

Original languageEnglish (US)
Title of host publication2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings
PublisherIEEE Computer Society
Pages625-628
Number of pages4
Volume2016-June
ISBN (Electronic)9781479923502
DOIs
StatePublished - Jun 15 2016
Event2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic
Duration: Apr 13 2016Apr 16 2016

Other

Other2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
CountryCzech Republic
CityPrague
Period4/13/164/16/16

Fingerprint

Brachytherapy
Magnetic resonance imaging
Seed
Prostate
Fusion reactions
Anatomy
Seeds
Dosimetry
Tissue
Standard of Care
Planning
Therapeutics

Keywords

  • CT
  • MRI
  • Multi-Modality Registration
  • Prostate Brachytherapy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Dehghan, E., Le, Y., Lee, J., Song, D. Y., Fichtinger, G., & Prince, J. L. (2016). CT and MRI fusion for postimplant prostate brachytherapy evaluation. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (Vol. 2016-June, pp. 625-628). [7493345] IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493345

CT and MRI fusion for postimplant prostate brachytherapy evaluation. / Dehghan, Ehsan; Le, Yi; Lee, Junghoon; Song, Danny Y; Fichtinger, Gabor; Prince, Jerry Ladd.

2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June IEEE Computer Society, 2016. p. 625-628 7493345.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dehghan, E, Le, Y, Lee, J, Song, DY, Fichtinger, G & Prince, JL 2016, CT and MRI fusion for postimplant prostate brachytherapy evaluation. in 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. vol. 2016-June, 7493345, IEEE Computer Society, pp. 625-628, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, Czech Republic, 4/13/16. https://doi.org/10.1109/ISBI.2016.7493345
Dehghan E, Le Y, Lee J, Song DY, Fichtinger G, Prince JL. CT and MRI fusion for postimplant prostate brachytherapy evaluation. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June. IEEE Computer Society. 2016. p. 625-628. 7493345 https://doi.org/10.1109/ISBI.2016.7493345
Dehghan, Ehsan ; Le, Yi ; Lee, Junghoon ; Song, Danny Y ; Fichtinger, Gabor ; Prince, Jerry Ladd. / CT and MRI fusion for postimplant prostate brachytherapy evaluation. 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June IEEE Computer Society, 2016. pp. 625-628
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